{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,7]],"date-time":"2024-07-07T18:32:05Z","timestamp":1720377125985},"reference-count":32,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2016,6,22]],"date-time":"2016-06-22T00:00:00Z","timestamp":1466553600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Due to electromagnetic interference in power substations, the partial discharge (PD) signals detected by ultrahigh frequency (UHF) antenna sensors often contain various background noises, which may hamper high voltage apparatus fault diagnosis and localization. This paper proposes a novel de-noising method based on the generalized S-transform and module time-frequency matrix to suppress noise in UHF PD signals. The sub-matrix maximum module value method is employed to calculate the frequencies and amplitudes of periodic narrowband noise, and suppress noise through the reverse phase cancellation technique. In addition, a singular value decomposition de-noising method is employed to suppress Gaussian white noise in UHF PD signals. Effective singular values are selected by employing the fuzzy c-means clustering method to recover the PD signals. De-noising results of simulated and field detected UHF PD signals prove the feasibility of the proposed method. Compared with four conventional de-noising methods, the results show that the proposed method can suppress background noise in the UHF PD signal effectively, with higher signal-to-noise ratio and less waveform distortion.<\/jats:p>","DOI":"10.3390\/s16060941","type":"journal-article","created":{"date-parts":[[2016,6,23]],"date-time":"2016-06-23T22:29:50Z","timestamp":1466720990000},"page":"941","source":"Crossref","is-referenced-by-count":26,"title":["An Ultrahigh Frequency Partial Discharge Signal De-Noising Method Based on a Generalized S-Transform and Module Time-Frequency Matrix"],"prefix":"10.3390","volume":"16","author":[{"given":"Yushun","family":"Liu","sequence":"first","affiliation":[{"name":"School of Electrical Engineering, Wuhan University, No. 299, Bayi Road, Wuhan 430072, China"}]},{"given":"Wenjun","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Wuhan University, No. 299, Bayi Road, Wuhan 430072, China"}]},{"given":"Pengfei","family":"Li","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Wuhan University, No. 299, Bayi Road, Wuhan 430072, China"}]},{"given":"Shuai","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Wuhan University, No. 299, Bayi Road, Wuhan 430072, China"}]},{"given":"Yan","family":"Tian","sequence":"additional","affiliation":[{"name":"Guangzhou Power Supply Bureau Co. Ltd., No. 38, Huangshidong Road, Guangzhou 510620, China"}]}],"member":"1968","published-online":{"date-parts":[[2016,6,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"7360","DOI":"10.3390\/s150407360","article-title":"Application of HFCT and UHF sensors in on-line partial discharge measurements for insulation diagnosis of high voltage equipment","volume":"15","author":"Garnacho","year":"2015","journal-title":"Sensors"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1960","DOI":"10.1109\/TPWRD.2013.2262315","article-title":"Robust time delay estimation method for locating UHF signals of partial discharge in substation","volume":"28","author":"Hou","year":"2013","journal-title":"IEEE Trans. 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